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Answer each question with a minimum of 70 words per question: Compare and contrast adaptive quadrature and Gaussian quadrature Discuss the pros and cons of the Newton-Cotes formulae and Romberg...

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Answer each question with a minimum of 70 words per question:
  1. Compare and contrast adaptive quadrature and Gaussian quadrature
  1. Discuss the pros and cons of the Newton-Cotes formulae and Romberg Integration. Provide specific examples and use scholarly sources to support your points.
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Answer each question with a minimum of 70 words per question: Compare and contrast adaptive quadrature and Gaussian quadrature Discuss the pros and cons of the Newton-Cotes formulae and Romberg Integration. Provide specific examples and use scholarly sources to support your points.

Answered Same Day Dec 20, 2021

Solution

Robert answered on Dec 20 2021
132 Votes
Adaptive quadrature :
1)
    Adaptive quadrature
    Gaussian quadrature
    Definition :
In applied mathematics, adaptive quadrature is a process in which the integral of a function f(x) is approximated using static quadrature rules on adaptively refined subintervals of the integration domain. Generally, adaptive algorithms are just as efficient and effective as traditional algorithms for "well-behaved" integrands, but are also effective for "badly-behaved" integrands for which traditional algorithms fail.
    Definition :
In numerical analysis, a quadrature rule is an approximation of the definite integral of a function, usually stated as a weighted sum of function values at specified points within the domain of integration. An n-point Gaussian quadrature rule, named after Carl Friedrich Gauss, is a quadrature rule constructed to yield an exact result for polynomials of degree 2n − 1 or less by a suitable choice of the points xi​ and weights wi for i =1,2,...n
    Quadrature rules :
The quadrature rules generally have the form
Qn =
Ã¥
=
n
i
xi
wif
0
)
(
~
ò
a
dx
x
f
)
(
Where the nodes xi​ and weights wi are generally pre-computed.
    Quadrature rules :
The domain of integration for such a rule is conventionally taken as [−1, 1], so the rule is stated...
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